Instructions to use datlaaaaaaa/06d3494a-b9b4-406d-a066-6194faa3fb6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use datlaaaaaaa/06d3494a-b9b4-406d-a066-6194faa3fb6b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Vikhrmodels/Vikhr-7B-instruct_0.4") model = PeftModel.from_pretrained(base_model, "datlaaaaaaa/06d3494a-b9b4-406d-a066-6194faa3fb6b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79aeca1cb62892e45da1678f084e620e523ab4fe509ba53675221ffb554fd3b5
- Size of remote file:
- 6.78 kB
- SHA256:
- b4b1fb215facac6368252dfc76e599a6745f5ffbdb64744989f3d30c9be10565
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